By installing various sensors, communication between operators and users (eg. Drivers) can be accelerated and simplified for maximum efficiency, time saving and avoidance of delays and errors.

Among the methods that are still used for short-term purposes of controlling the work of employees is collecting data about employees’ movement in the workplace such as the time of entry in or exit of a room or building and around the premises in general. With RTLS, traffic analysis in the workplace is not time consuming and inefficient anymore but makes it possible to perform this monitoring quickly and easily to avoid wasting time in non-productive activities, unwanted guests, overcrowding and failure to locate a person when necessary or in case of emergency.

With the help of RTLS, companies can:

• Create better routes and work processes for employees and machinery.

• Calculate the time lost on non-productive tasks.

• Build anti-collision systems to prevent workplace accidents.

• Create safety zones with no access

• Make sure that autonomous devices and individuals can work together safely.

• Build effective evacuation systems for hazardous environments.

With the pressure for greater efficiency in facilities use, RTLS ultimately provides a quite simply workable solution for auditing these premises. The collected data can then be used to improve the quality and ergonomics of the workplace whereas other applications can help you better orientate in unknown areas.

Safety concern is increasingly prevalent in the workplace and the location tracking of isolated employees is now more easily available than ever. RTLS technologies allow not only the locating of employees but, when necessary, also the activation of the alarm. The alarm may be triggered by a fall or inertia in a dangerous place or even by increased temperature in a room caused by a potential fire outbreak.

With RTLS it is now possible to analyze any process – either material flow or production line operation. By visualizing the production line in real time, you can eventually identify bottlenecks and other issues in the future.